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<div class="title">GpuIndexFlat.cu</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;GpuIndexFlat.h&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;../IndexFlat.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;GpuResources.h&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;impl/FlatIndex.cuh&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;utils/CopyUtils.cuh&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &quot;utils/StaticUtils.h&quot;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &lt;thrust/execution_policy.h&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;thrust/transform.h&gt;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment">/// Default CPU search size for which we use paged copies</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kMinPagedQuerySize = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment">/// Size above which we page copies from the CPU to GPU (non-paged</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment">/// memory usage)</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kNonPinnedPageSize = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div>
<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#adb02cf2994b32a981cfa10850607c1f5">   33</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#adb02cf2994b32a981cfa10850607c1f5">GpuIndexFlat::GpuIndexFlat</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                           <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                           <span class="keywordtype">bool</span> useFloat16,</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;                           <span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index) :</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html">GpuIndex</a>(resources, device, index-&gt;d, index-&gt;metric_type),</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    minPagedSize_(kMinPagedQuerySize),</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    useFloat16_(useFloat16),</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    data_(nullptr) {</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">copyFrom</a>(index);</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;}</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div>
<div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af143ba8226b107dddeb76ba5fe4c8083">   44</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#adb02cf2994b32a981cfa10850607c1f5">GpuIndexFlat::GpuIndexFlat</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                           <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;                           <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;                           <span class="keywordtype">bool</span> useFloat16,</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;                           <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a> metric) :</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html">GpuIndex</a>(resources, device, dims, metric),</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    minPagedSize_(kMinPagedQuerySize),</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    useFloat16_(useFloat16),</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    data_(nullptr) {</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a> = <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a>(resources,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                        dims,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                        metric == faiss::METRIC_L2,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                        useFloat16);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;}</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;GpuIndexFlat::~GpuIndexFlat() {</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="keyword">delete</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;}</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a752f8129ccb94fa0c6f346ae03ff536d">   66</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a752f8129ccb94fa0c6f346ae03ff536d">GpuIndexFlat::setMinPagingSize</a>(<span class="keywordtype">size_t</span> size) {</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aad665a7b5888b4aafd47ae0f8d0e6c40">minPagedSize_</a> = size;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;}</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a44532c7e5165d36e5da57272d37544ae">   71</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a44532c7e5165d36e5da57272d37544ae">GpuIndexFlat::getMinPagingSize</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aad665a7b5888b4aafd47ae0f8d0e6c40">minPagedSize_</a>;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;}</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="keywordtype">bool</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af9b5ff82eb54a6d0632d515db4ee3994">   76</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af9b5ff82eb54a6d0632d515db4ee3994">GpuIndexFlat::getUseFloat16</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">useFloat16_</a>;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;}</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">   81</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(<span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index) {</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <span class="comment">// GPU code has 32 bit indices</span></div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  FAISS_ASSERT(index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &lt;=</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;               (<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">delete</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a> = <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                        this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                        index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2,</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">useFloat16_</a>);</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="comment">// The index could be empty</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keywordflow">if</span> (index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &gt; 0) {</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">add</a>(index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(),</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;               index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>,</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;               <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;getDefaultStream(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>));</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  }</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;}</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">  107</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">getSize</a>() == this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>);</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.resize(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>);</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;getDefaultStream(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &gt; 0) {</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">useFloat16_</a>) {</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;      <span class="keyword">auto</span> vecFloat32 = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(stream);</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;      fromDevice(vecFloat32, index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(), stream);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;      fromDevice(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>(), index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(), stream);</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    }</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;  }</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;}</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">  130</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">GpuIndexFlat::getNumVecs</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;  <span class="keywordflow">return</span> this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;}</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">  135</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">GpuIndexFlat::reset</a>() {</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  <span class="comment">// Free the underlying memory</span></div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">reset</a>();</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = 0;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;}</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">  144</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">GpuIndexFlat::train</a>(<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  <span class="comment">// nothing to do</span></div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;}</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aca24d09a00743aa3087c1a14a66995b9">  149</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aca24d09a00743aa3087c1a14a66995b9">GpuIndexFlat::add</a>(<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="comment">// Due to GPU indexing in int32, we can&#39;t store more than this</span></div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="comment">// number of vectors on a GPU</span></div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> + n &lt;=</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;               (<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="keywordflow">if</span> (n &gt; 0) {</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">add</a>(x, n, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;getDefaultStream(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>));</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> += n;</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  }</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;}</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div>
<div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="structfaiss_1_1gpu_1_1IntToLong.html">  162</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1IntToLong.html">IntToLong</a> {</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  __device__ <span class="keywordtype">long</span> operator()(<span class="keywordtype">int</span> v)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> (<span class="keywordtype">long</span>) v; }</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;};</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ac0f0301829363f920e619f673a4d97f3">  167</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ac0f0301829363f920e619f673a4d97f3">GpuIndexFlat::search</a>(<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a> n,</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                     <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                     <a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a> k,</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                     <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                     <a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a>* labels)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  <span class="keywordflow">if</span> (n == 0) {</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  }</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;  <span class="comment">// For now, only support &lt;= max int results</span></div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  <span class="comment">// TODO: handle tiling over arbitrary n to keep within 32 bit bounds</span></div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  FAISS_ASSERT(n &lt;= (<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  FAISS_ASSERT(k &lt;= 1024); <span class="comment">// select limitation</span></div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;getDefaultStream(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <span class="comment">// The input vectors may be too large for the GPU, but we still</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  <span class="comment">// assume that the output distances and labels are not.</span></div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;  <span class="comment">// Go ahead and make space for output distances and labels on the</span></div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="comment">// GPU.</span></div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="comment">// If we reach a point where all inputs are too big, we can add</span></div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  <span class="comment">// another level of tiling.</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  <span class="keyword">auto</span> outDistances = toDevice&lt;float, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                                         <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>,</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;                                         distances,</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;                                         stream,</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                                         {(int) n, (<span class="keywordtype">int</span>) k});</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  <span class="comment">// FlatIndex only supports an interface returning int indices</span></div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;int, 2, true&gt;</a> outIntIndices(</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    resources_-&gt;getMemoryManagerCurrentDevice(),</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    {(int) n, (<span class="keywordtype">int</span>) k}, stream);</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  <span class="keywordtype">bool</span> usePaged = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  <span class="keywordflow">if</span> (getDeviceForAddress(x) == -1) {</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="comment">// It is possible that the user is querying for a vector set size</span></div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="comment">// `x` that won&#39;t fit on the GPU.</span></div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <span class="comment">// In this case, we will have to handle paging of the data from CPU</span></div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <span class="comment">// -&gt; GPU.</span></div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <span class="comment">// Currently, we don&#39;t handle the case where the output data won&#39;t</span></div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="comment">// fit on the GPU (e.g., n * k is too large for the GPU memory).</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="keywordtype">size_t</span> dataSize = (size_t) n * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>);</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keywordflow">if</span> (dataSize &gt;= <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aad665a7b5888b4aafd47ae0f8d0e6c40">minPagedSize_</a>) {</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#afedeff5442b6ed94f856cecb8d8e598d">searchFromCpuPaged_</a>(n, x, k,</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                          outDistances.data(),</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;                          outIntIndices.data());</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;      usePaged = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    }</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  }</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  <span class="keywordflow">if</span> (!usePaged) {</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    searchNonPaged_(n, x, k,</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                    outDistances.data(),</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;                    outIntIndices.data());</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  }</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <span class="comment">// Convert and copy int indices out</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  <span class="keyword">auto</span> outIndices = toDevice&lt;faiss::Index::idx_t, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;                                                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>,</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;                                                     labels,</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;                                                     stream,</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;                                                     {(int) n, (<span class="keywordtype">int</span>) k});</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  <span class="comment">// Convert int to long</span></div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  thrust::transform(thrust::cuda::par.on(stream),</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;                    outIntIndices.data(),</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;                    outIntIndices.end(),</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;                    outIndices.data(),</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;                    <a class="code" href="structfaiss_1_1gpu_1_1IntToLong.html">IntToLong</a>());</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  <span class="comment">// Copy back if necessary</span></div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;  fromDevice&lt;float, 2&gt;(outDistances, distances, stream);</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  fromDevice&lt;faiss::Index::idx_t, 2&gt;(outIndices, labels, stream);</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;}</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;GpuIndexFlat::searchNonPaged_(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;                              <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;                              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;                              <span class="keywordtype">float</span>* outDistancesData,</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;                              <span class="keywordtype">int</span>* outIndicesData)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> outDistances(outDistancesData, {n, k});</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  Tensor&lt;int, 2, true&gt; outIndices(outIndicesData, {n, k});</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;getDefaultStream(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>);</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  <span class="comment">// Make sure arguments are on the device we desire; use temporary</span></div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="comment">// memory allocations to move it if necessary</span></div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  <span class="keyword">auto</span> vecs = toDevice&lt;float, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;                                 <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">device_</a>,</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;                                 <span class="keyword">const_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(x),</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;                                 stream,</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                                 {n, (int) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;query(vecs, k, outDistances, outIndices, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;}</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#afedeff5442b6ed94f856cecb8d8e598d">  268</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#afedeff5442b6ed94f856cecb8d8e598d">GpuIndexFlat::searchFromCpuPaged_</a>(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                                  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                                  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                                  <span class="keywordtype">float</span>* outDistancesData,</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                                  <span class="keywordtype">int</span>* outIndicesData)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> outDistances(outDistancesData, {n, k});</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;int, 2, true&gt;</a> outIndices(outIndicesData, {n, k});</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;  <span class="comment">// Is pinned memory available?</span></div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  <span class="keyword">auto</span> pinnedAlloc = resources_-&gt;getPinnedMemory();</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="keywordtype">int</span> pageSizeInVecs =</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    (int) ((pinnedAlloc.second / 2) / (<span class="keyword">sizeof</span>(float) * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>));</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="keywordflow">if</span> (!pinnedAlloc.first || pageSizeInVecs &lt; 1) {</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <span class="comment">// Just page without overlapping copy with compute</span></div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="keywordtype">int</span> batchSize = utils::nextHighestPowerOf2(</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;      (<span class="keywordtype">int</span>) ((<span class="keywordtype">size_t</span>) kNonPinnedPageSize /</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;             (<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>) * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>)));</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> cur = 0; cur &lt; n; cur += batchSize) {</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;      <span class="keywordtype">int</span> num = std::min(batchSize, n - cur);</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;      <span class="keyword">auto</span> outDistancesSlice = outDistances.narrowOutermost(cur, num);</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;      <span class="keyword">auto</span> outIndicesSlice = outIndices.narrowOutermost(cur, num);</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;      searchNonPaged_(num,</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;                      x + (<span class="keywordtype">size_t</span>) cur * this-&gt;d,</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;                      k,</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;                      outDistancesSlice.data(),</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;                      outIndicesSlice.data());</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    }</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;  }</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;  <span class="comment">// Pinned memory is available, so we can overlap copy with compute.</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;  <span class="comment">// We use two pinned memory buffers, and triple-buffer the</span></div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;  <span class="comment">// procedure:</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  <span class="comment">// 1 CPU copy -&gt; pinned</span></div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;  <span class="comment">// 2 pinned copy -&gt; GPU</span></div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;  <span class="comment">// 3 GPU compute</span></div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  <span class="comment">// 1 2 3 1 2 3 ...   (pinned buf A)</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  <span class="comment">//   1 2 3 1 2 ...   (pinned buf B)</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  <span class="comment">//     1 2 3 1 ...   (pinned buf A)</span></div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  <span class="comment">// time -&gt;</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  <span class="keyword">auto</span> defaultStream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;  <span class="keyword">auto</span> copyStream = resources_-&gt;getAsyncCopyStream(device_);</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;  FAISS_ASSERT((<span class="keywordtype">size_t</span>) pageSizeInVecs * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> &lt;=</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;               (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;  <span class="keywordtype">float</span>* bufPinnedA = (<span class="keywordtype">float</span>*) pinnedAlloc.first;</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  <span class="keywordtype">float</span>* bufPinnedB = bufPinnedA + (<span class="keywordtype">size_t</span>) pageSizeInVecs * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;  <span class="keywordtype">float</span>* bufPinned[2] = {bufPinnedA, bufPinnedB};</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  <span class="comment">// Reserve space on the GPU for the destination of the pinned buffer</span></div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  <span class="comment">// copy</span></div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;float, 2, true&gt;</a> bufGpuA(</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    resources_-&gt;getMemoryManagerCurrentDevice(),</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this-&gt;d},</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    defaultStream);</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;float, 2, true&gt;</a> bufGpuB(</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    resources_-&gt;getMemoryManagerCurrentDevice(),</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this-&gt;d},</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    defaultStream);</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;float, 2, true&gt;</a>* bufGpus[2] = {&amp;bufGpuA, &amp;bufGpuB};</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;  <span class="comment">// Copy completion events for the pinned buffers</span></div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  std::unique_ptr&lt;CudaEvent&gt; eventPinnedCopyDone[2];</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;  <span class="comment">// Execute completion events for the GPU buffers</span></div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;  std::unique_ptr&lt;CudaEvent&gt; eventGpuExecuteDone[2];</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;  <span class="comment">// All offsets are in terms of number of vectors; they remain within</span></div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;  <span class="comment">// int bounds (as this function only handles max in vectors)</span></div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;  <span class="comment">// Current start offset for buffer 1</span></div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  <span class="keywordtype">int</span> cur1 = 0;</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="keywordtype">int</span> cur1BufIndex = 0;</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;  <span class="comment">// Current start offset for buffer 2</span></div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  <span class="keywordtype">int</span> cur2 = -1;</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;  <span class="keywordtype">int</span> cur2BufIndex = 0;</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;  <span class="comment">// Current start offset for buffer 3</span></div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="keywordtype">int</span> cur3 = -1;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;  <span class="keywordtype">int</span> cur3BufIndex = 0;</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;  <span class="keywordflow">while</span> (cur3 &lt; n) {</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    <span class="comment">// Start async pinned -&gt; GPU copy first (buf 2)</span></div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <span class="keywordflow">if</span> (cur2 != -1 &amp;&amp; cur2 &lt; n) {</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;      <span class="comment">// Copy pinned to GPU</span></div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;      <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur2);</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;      <span class="comment">// Make sure any previous execution has completed before continuing</span></div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventGpuExecuteDone[cur2BufIndex];</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;      <span class="keywordflow">if</span> (eventPrev.get()) {</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;        eventPrev-&gt;streamWaitOnEvent(copyStream);</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;      }</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;      CUDA_VERIFY(cudaMemcpyAsync(bufGpus[cur2BufIndex]-&gt;data(),</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;                                  bufPinned[cur2BufIndex],</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                                  (<span class="keywordtype">size_t</span>) numToCopy * this-&gt;d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>),</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                                  cudaMemcpyHostToDevice,</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;                                  copyStream));</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;      <span class="comment">// Mark a completion event in this stream</span></div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;      eventPinnedCopyDone[cur2BufIndex] =</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;        std::move(std::unique_ptr&lt;CudaEvent&gt;(<span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1CudaEvent.html">CudaEvent</a>(copyStream)));</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;      cur3 = cur2;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;      cur2 += numToCopy;</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;      cur2BufIndex = (cur2BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    }</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    <span class="keywordflow">if</span> (cur3 != -1 &amp;&amp; cur3 &lt; n) {</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;      <span class="comment">// Process on GPU</span></div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;      <span class="keywordtype">int</span> numToProcess = std::min(pageSizeInVecs, n - cur3);</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;      <span class="comment">// Make sure the previous copy has completed before continuing</span></div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventPinnedCopyDone[cur3BufIndex];</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;      FAISS_ASSERT(eventPrev.get());</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;      eventPrev-&gt;streamWaitOnEvent(defaultStream);</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;      <span class="comment">// Create tensor wrappers</span></div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;float, 2, true&gt;</a> input(bufGpus[cur3BufIndex]-&gt;data(),</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;                                         {numToProcess, this-&gt;d});</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;      <span class="keyword">auto</span> outDistancesSlice = outDistances.<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a782cd978394660371a22229f02e49e60">narrowOutermost</a>(cur3, numToProcess);</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;      <span class="keyword">auto</span> outIndicesSlice = outIndices.<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a782cd978394660371a22229f02e49e60">narrowOutermost</a>(cur3, numToProcess);</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;query(input, k,</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;                   outDistancesSlice,</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                   outIndicesSlice, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;      <span class="comment">// Create completion event</span></div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;      eventGpuExecuteDone[cur3BufIndex] =</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;        std::move(std::unique_ptr&lt;CudaEvent&gt;(<span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1CudaEvent.html">CudaEvent</a>(defaultStream)));</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;      cur3BufIndex = (cur3BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;      cur3 += numToProcess;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;    }</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;    <span class="keywordflow">if</span> (cur1 &lt; n) {</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;      <span class="comment">// Copy CPU mem to CPU pinned</span></div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;      <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur1);</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;      <span class="comment">// Make sure any previous copy has completed before continuing</span></div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventPinnedCopyDone[cur1BufIndex];</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;      <span class="keywordflow">if</span> (eventPrev.get()) {</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;        eventPrev-&gt;cpuWaitOnEvent();</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;      }</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;      memcpy(bufPinned[cur1BufIndex],</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;             x + (<span class="keywordtype">size_t</span>) cur1 * this-&gt;d,</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;             (<span class="keywordtype">size_t</span>) numToCopy * this-&gt;d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;      cur2 = cur1;</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;      cur1 += numToCopy;</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;      cur1BufIndex = (cur1BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    }</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;  }</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;}</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">  440</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">GpuIndexFlat::reconstruct</a>(<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a> key,</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                          <span class="keywordtype">float</span>* out)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(device_);</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;  FAISS_ASSERT(key &lt; this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>);</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;  <span class="keyword">auto</span> stream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">useFloat16_</a>) {</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(key, 1, stream);</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>()[key];</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;  }</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;}</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">  457</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">GpuIndexFlat::reconstruct_n</a>(<a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a> i0,</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;                            <a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a> num,</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;                            <span class="keywordtype">float</span>* out)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(device_);</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;  FAISS_ASSERT(i0 &lt; this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>);</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;  FAISS_ASSERT(i0 + num - 1 &lt; this-&gt;ntotal);</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;  <span class="keyword">auto</span> stream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">useFloat16_</a>) {</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(i0, num, stream);</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;    fromDevice(vec.data(), out, num * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>()[i0];</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * num, stream);</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;  }</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;}</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;GpuIndexFlat::set_typename() {</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2) {</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    this-&gt;index_typename = <span class="stringliteral">&quot;GpuL2&quot;</span>;</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;    this-&gt;index_typename = <span class="stringliteral">&quot;GpuIP&quot;</span>;</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;  }</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;}</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;<span class="comment">// GpuIndexFlatL2</span></div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;</div>
<div class="line"><a name="l00488"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a2056e4356f0628afbee8881eb915406b">  488</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a2056e4356f0628afbee8881eb915406b">GpuIndexFlatL2::GpuIndexFlatL2</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;                               <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;                               <span class="keywordtype">bool</span> useFloat16,</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;                               <a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index) :</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, device, useFloat16, index) {</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;}</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;</div>
<div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#adc9431d3117ae6b8fb63fc860b78b8ea">  495</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a2056e4356f0628afbee8881eb915406b">GpuIndexFlatL2::GpuIndexFlatL2</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;                               <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;                               <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;                               <span class="keywordtype">bool</span> useFloat16) :</div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, device, dims, useFloat16, faiss::METRIC_L2) {</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;}</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00503"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">  503</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">GpuIndexFlatL2::copyFrom</a>(<a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index) {</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(index);</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;}</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">  508</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">GpuIndexFlatL2::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index) {</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(index);</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;}</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;<span class="comment">// GpuIndexFlatIP</span></div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;</div>
<div class="line"><a name="l00516"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5e145b6277778b884508eb351efb1814">  516</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5e145b6277778b884508eb351efb1814">GpuIndexFlatIP::GpuIndexFlatIP</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;                               <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;                               <span class="keywordtype">bool</span> useFloat16,</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;                               <a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index) :</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, device, useFloat16, index) {</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;}</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;</div>
<div class="line"><a name="l00523"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a661fe5a0dc4de29be93d0dc887fe2176">  523</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5e145b6277778b884508eb351efb1814">GpuIndexFlatIP::GpuIndexFlatIP</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;                               <span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;                               <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;                               <span class="keywordtype">bool</span> useFloat16) :</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, device, dims, useFloat16,</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;                 faiss::METRIC_INNER_PRODUCT) {</div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;}</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;</div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00532"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">  532</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">GpuIndexFlatIP::copyFrom</a>(<a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index) {</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(index);</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;}</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">  537</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">GpuIndexFlatIP::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index) {</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(index);</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;}</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a258b0dd61a9c352ec7d68fa8bac0d7ad"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">faiss::gpu::FlatIndex::getVectorsFloat32Copy</a></div><div class="ttdeci">DeviceTensor&lt; float, 2, true &gt; getVectorsFloat32Copy(cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00073">FlatIndex.cu:73</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlat_html"><div class="ttname"><a href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00024">IndexFlat.h:24</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_adb02cf2994b32a981cfa10850607c1f5"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#adb02cf2994b32a981cfa10850607c1f5">faiss::gpu::GpuIndexFlat::GpuIndexFlat</a></div><div class="ttdeci">GpuIndexFlat(GpuResources *resources, int device, bool useFloat16, const faiss::IndexFlat *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00033">GpuIndexFlat.cu:33</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_a9a9de859274bb73e6d8ea02cae5ca9a6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">faiss::gpu::GpuIndexFlatL2::copyFrom</a></div><div class="ttdeci">void copyFrom(faiss::IndexFlatL2 *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00503">GpuIndexFlat.cu:503</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a046007ff2fafcafc6ae328769c700e39"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">faiss::gpu::GpuIndexFlat::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlat *index) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00107">GpuIndexFlat.cu:107</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a472732e9bd8ffb1aa4c3abc31063dd28"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">faiss::gpu::GpuIndexFlat::reconstruct_n</a></div><div class="ttdeci">void reconstruct_n(faiss::Index::idx_t i0, faiss::Index::idx_t num, float *out) const override</div><div class="ttdoc">Batch reconstruction method. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00457">GpuIndexFlat.cu:457</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a44532c7e5165d36e5da57272d37544ae"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a44532c7e5165d36e5da57272d37544ae">faiss::gpu::GpuIndexFlat::getMinPagingSize</a></div><div class="ttdeci">size_t getMinPagingSize() const </div><div class="ttdoc">Returns the current minimum data size for paged searches. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00071">GpuIndexFlat.cu:71</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a6988df17792dae30f24cc859728777e6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">faiss::gpu::FlatIndex::getSize</a></div><div class="ttdeci">int getSize() const </div><div class="ttdoc">Returns the number of vectors we contain. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00040">FlatIndex.cu:40</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html">faiss::gpu::FlatIndex</a></div><div class="ttdoc">Holder of GPU resources for a particular flat index. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cuh_source.html#l00023">FlatIndex.cuh:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_ab21960d379190b98aaa05ae3877dea09"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">faiss::gpu::GpuIndexFlatL2::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlatL2 *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00508">GpuIndexFlat.cu:508</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlatL2_html"><div class="ttname"><a href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00081">IndexFlat.h:81</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_afedeff5442b6ed94f856cecb8d8e598d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#afedeff5442b6ed94f856cecb8d8e598d">faiss::gpu::GpuIndexFlat::searchFromCpuPaged_</a></div><div class="ttdeci">void searchFromCpuPaged_(int n, const float *x, int k, float *outDistancesData, int *outIndicesData) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00268">GpuIndexFlat.cu:268</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a782cd978394660371a22229f02e49e60"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a782cd978394660371a22229f02e49e60">faiss::gpu::Tensor::narrowOutermost</a></div><div class="ttdeci">__host__ __device__ Tensor&lt; T, Dim, Contig, IndexT, PtrTraits &gt; narrowOutermost(IndexT start, IndexT size)</div><div class="ttdef"><b>Definition:</b> <a href="Tensor-inl_8cuh_source.html#l00553">Tensor-inl.cuh:553</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_ad09fbc6ed81eb30533c56a3ef262b022"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad09fbc6ed81eb30533c56a3ef262b022">faiss::gpu::GpuIndexFlat::useFloat16_</a></div><div class="ttdeci">const bool useFloat16_</div><div class="ttdoc">Whether or not we store our vectors in float32 or float16. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00122">GpuIndexFlat.h:122</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a51b5aa0d68670ec7ccb32b0353c7387f"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">faiss::gpu::GpuIndexFlat::getNumVecs</a></div><div class="ttdeci">size_t getNumVecs() const </div><div class="ttdoc">Returns the number of vectors we contain. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00130">GpuIndexFlat.cu:130</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00024">GpuResources.h:24</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlatIP_html"><div class="ttname"><a href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00075">IndexFlat.h:75</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a752f8129ccb94fa0c6f346ae03ff536d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a752f8129ccb94fa0c6f346ae03ff536d">faiss::gpu::GpuIndexFlat::setMinPagingSize</a></div><div class="ttdeci">void setMinPagingSize(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00066">GpuIndexFlat.cu:66</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html">faiss::gpu::GpuIndex</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00020">GpuIndex.h:20</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a27b56209183310c8d57ffda796f02c6c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a27b56209183310c8d57ffda796f02c6c">faiss::gpu::GpuIndex::device_</a></div><div class="ttdeci">int device_</div><div class="ttdoc">The GPU device we are resident on. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00043">GpuIndex.h:43</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_af9b5ff82eb54a6d0632d515db4ee3994"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af9b5ff82eb54a6d0632d515db4ee3994">faiss::gpu::GpuIndexFlat::getUseFloat16</a></div><div class="ttdeci">bool getUseFloat16() const </div><div class="ttdoc">Do we store vectors and perform math in float16? </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00076">GpuIndexFlat.cu:76</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1IntToLong_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1IntToLong.html">faiss::gpu::IntToLong</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00162">GpuIndexFlat.cu:162</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_a2056e4356f0628afbee8881eb915406b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a2056e4356f0628afbee8881eb915406b">faiss::gpu::GpuIndexFlatL2::GpuIndexFlatL2</a></div><div class="ttdeci">GpuIndexFlatL2(GpuResources *resources, int device, bool useFloat16, faiss::IndexFlatL2 *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00488">GpuIndexFlat.cu:488</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a7f1cdf03d3545a43fc91bb5cace3b6fd"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">faiss::gpu::GpuIndexFlat::reconstruct</a></div><div class="ttdeci">void reconstruct(faiss::Index::idx_t key, float *out) const override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00440">GpuIndexFlat.cu:440</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_af70d0fe80cf3bf16ffffd8b16ed64f08"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">faiss::gpu::GpuIndexFlatIP::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlatIP *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00537">GpuIndexFlat.cu:537</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a17b82a8a11783da6eb1b07c9aab98c36"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">faiss::gpu::GpuIndex::resources_</a></div><div class="ttdeci">GpuResources * resources_</div><div class="ttdoc">Manages streans, cuBLAS handles and scratch memory for devices. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00040">GpuIndex.h:40</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a040c6aed1f224f3ea7bf58eebc0c31a4"><div class="ttname"><a href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00064">Index.h:64</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ab91c9ddf7dd258620f424619cb029e22"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">faiss::gpu::FlatIndex::add</a></div><div class="ttdeci">void add(const float *data, int numVecs, cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00177">FlatIndex.cu:177</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_abb964875e0893de1d8334ca5ad0f62dc"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">faiss::gpu::GpuIndexFlat::copyFrom</a></div><div class="ttdeci">void copyFrom(const faiss::IndexFlat *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00081">GpuIndexFlat.cu:81</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a></div><div class="ttdoc">Our tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00031">Tensor.cuh:31</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_aca24d09a00743aa3087c1a14a66995b9"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aca24d09a00743aa3087c1a14a66995b9">faiss::gpu::GpuIndexFlat::add</a></div><div class="ttdeci">void add(Index::idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00149">GpuIndexFlat.cu:149</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00055">DeviceUtils.h:55</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_aad665a7b5888b4aafd47ae0f8d0e6c40"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aad665a7b5888b4aafd47ae0f8d0e6c40">faiss::gpu::GpuIndexFlat::minPagedSize_</a></div><div class="ttdeci">size_t minPagedSize_</div><div class="ttdoc">Size above which we page copies from the CPU to GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00119">GpuIndexFlat.h:119</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_a5e145b6277778b884508eb351efb1814"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5e145b6277778b884508eb351efb1814">faiss::gpu::GpuIndexFlatIP::GpuIndexFlatIP</a></div><div class="ttdeci">GpuIndexFlatIP(GpuResources *resources, int device, bool useFloat16, faiss::IndexFlatIP *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00516">GpuIndexFlat.cu:516</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e"><div class="ttname"><a href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">faiss::Index::metric_type</a></div><div class="ttdeci">MetricType metric_type</div><div class="ttdoc">type of metric this index uses for search </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00074">Index.h:74</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a12058744ffb3fbcbb047872449269c06"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">faiss::gpu::FlatIndex::getVectorsFloat32Ref</a></div><div class="ttdeci">Tensor&lt; float, 2, true &gt; &amp; getVectorsFloat32Ref()</div><div class="ttdoc">Returns a reference to our vectors currently in use. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00061">FlatIndex.cu:61</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">faiss::gpu::GpuIndexFlat</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00031">GpuIndexFlat.h:31</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a67161796f274a7171a67c36bdf1ef1db"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">faiss::gpu::GpuIndexFlat::reset</a></div><div class="ttdeci">void reset() override</div><div class="ttdoc">Clears all vectors from this index. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00135">GpuIndexFlat.cu:135</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_aa181b1778a8dca81ac5cf6cd6a3d5f1d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">faiss::gpu::GpuIndexFlatIP::copyFrom</a></div><div class="ttdeci">void copyFrom(faiss::IndexFlatIP *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00532">GpuIndexFlat.cu:532</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ae06cb2ffd46659b6639b97297546096e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">faiss::gpu::FlatIndex::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Free all storage. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00235">FlatIndex.cu:235</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1CudaEvent_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1CudaEvent.html">faiss::gpu::CudaEvent</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00077">DeviceUtils.h:77</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_ac0f0301829363f920e619f673a4d97f3"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ac0f0301829363f920e619f673a4d97f3">faiss::gpu::GpuIndexFlat::search</a></div><div class="ttdeci">void search(faiss::Index::idx_t n, const float *x, faiss::Index::idx_t k, float *distances, faiss::Index::idx_t *labels) const override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00167">GpuIndexFlat.cu:167</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor_8cuh_source.html#l00024">DeviceTensor.cuh:24</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlat_html_a9001de47890fe5d2eced9551d3613d47"><div class="ttname"><a href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">faiss::IndexFlat::xb</a></div><div class="ttdeci">std::vector&lt; float &gt; xb</div><div class="ttdoc">database vectors, size ntotal * d </div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00026">IndexFlat.h:26</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a0e74fad76628ddfb5ae3dc1d1c69f7e8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">faiss::gpu::GpuIndexFlat::train</a></div><div class="ttdeci">void train(Index::idx_t n, const float *x) override</div><div class="ttdoc">This index is not trained, so this does nothing. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00144">GpuIndexFlat.cu:144</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product vetsion and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_ae393840fc80403369452c25c9155e067"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">faiss::gpu::GpuIndexFlat::data_</a></div><div class="ttdeci">FlatIndex * data_</div><div class="ttdoc">Holds our GPU data containing the list of vectors. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00125">GpuIndexFlat.h:125</a></div></div>
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